SBI Turns AI Into a ₹22,000 Crore Loan-Generation Engine

State Bank of India (SBI) is increasingly using artificial intelligence and data analytics to improve loan sourcing, with AI-driven analytical leads contributing around ₹22,000 crore of business during the June quarter, equivalent to roughly one-fourth of its sequential domestic loan growth. The AI models identify potential borrowers across products such as home loans, express credit, gold loans and MSME loans, with leads then passed to branches and frontline teams for conversion. SBI’s overall domestic advances increased by around ₹90,000 crore sequentially, while the corporate loan book remained broadly flat at about ₹14.2 lakh crore amid the transition to MCLR-based lending and competitive pressures. Corporate loans account for nearly one-third of domestic advances, whereas the retail personal segment represents 41.4%, with a book of ₹17.73 lakh crore. Despite the slower corporate loan momentum, SBI has a strong corporate credit pipeline exceeding ₹9 lakh crore and now has total business of more than ₹110 lakh crore. For FY27, the bank expects credit growth of 14–15% and deposit growth of 10–11%, with its credit growth outlook linked to nominal GDP growth. Financial performance also remained strong, with SBI reporting its highest-ever quarterly net profit of ₹21,121 crore for the June quarter, up 10.2% year-on-year, while operating profit increased 9.8% to ₹33,529 crore and domestic net interest margin remained resilient at 3%. Overall, the growing use of AI for customer targeting and loan origination could improve sourcing efficiency and support retail credit growth, although the sustainability of this approach will ultimately depend on actual conversion, asset quality and overall credit demand. $SBIN Disclaimer: This post is for informational purposes only and not a recommendation to buy or sell any securities. I, or my family, associates, or relatives, may have a financial interest in the securities mentioned.